Book Image

Hands-On MQTT Programming with Python

By : Gaston C. Hillar
Book Image

Hands-On MQTT Programming with Python

By: Gaston C. Hillar

Overview of this book

<p>MQTT is a lightweight messaging protocol for small sensors and mobile devices. This book explores the features of the latest versions of MQTT for IoT and M2M communications, how to use them with Python 3, and allow you to interact with sensors and actuators using Python.</p> <p>The book begins with the specific vocabulary of MQTT and its working modes, followed by installing a Mosquitto MQTT broker. You will use different utilities and diagrams to understand the most important concepts related to MQTT. You will learn to make all the necessary configuration to work with digital certificates for encrypting all data sent between the MQTT clients and the server. You will also work with the different Quality of Service levels and later analyze and compare their overheads.</p> <p>You will write Python 3.x code to control a vehicle with MQTT messages delivered through encrypted connections (TLS 1.2), and learn how leverage your knowledge of the MQTT protocol to build a solution based on requirements. Towards the end, you will write Python code to use the PubNub cloud-based real-time MQTT provider to monitor a surfing competition.</p> <p>In the end, you will have a solution that was built from scratch by analyzing the requirements and then write Python code that will run on water-proof IoT boards connected to multiple sensors in surfboards.</p>
Table of Contents (9 chapters)

Summary

In this chapter, we processed commands received as JSON strings within MQTT messages with Python code. Then, we coded a Python client that composed and published messages with commands to work as a remote control application for the vehicle controller.

We worked with the blocking network loop and then we converted the application to use the threaded client interface to avoid blocking the main thread. We took advantage of the last will and testament feature to make sure a controlled vehicle parks in a safe place whenever a connection is lost. Then, we worked with retained last will messages.

Now that we understand how to use Python to work with multiple MQTT applications that take advantage of advanced features, we will use a cloud-based real-time MQTT provider to monitor a surfing completion in which we will need to receive and process data from multiple sensors, which...